DealLabs Builds Travel AI Data Layer with 280,000 Verified Local Records Across Seven Asian Cities
SEOUL, South Korea, Oct. 28, 2026
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DealLabs Builds Travel AI Data Layer with 280,000 Verified Local Records Across Seven Asian Cities
PR Newswire
SEOUL, South Korea, Oct. 28, 2026
SEOUL, South Korea, Oct. 28, 2026 /PRNewswire/ — Seoul-based travel data company DealLabs announced that it has built a database of verified local travel information for seven Asian cities: Seoul, Busan, Tokyo, Osaka, Bangkok, Taipei, and Singapore. As of October 13, the database contained more than 280,000 records, each accompanied by its source and verification date. It powers more than 23,000 guide pages and is published in formats AI systems can read directly.
It covers what travelers look for after arriving: subway station exits, timetables, first and last trains, fares, restaurants, tourist attractions, hospitals, closing days for Singapore’s hawker centers, and business hours for Taipei’s night markets. In Osaka alone, the database contains more than 114,000 records, including more than 42,000 medical institutions and pharmacies and more than 30,000 restaurant permits. In Taipei, it contains more than 63,000 records, including 7,200 station-to-station fares.
The number of times generative AI search and answer services accessed DealLabs’ data increased from around 600 times per day on a seven-day average in late September to more than 11,000 times per day in mid-October, nearly 20-fold in less than a month.
Travel information changes rapidly. On the same day, public event listings and organizers’ own notices gave different end dates for three of 25 pop-up stores in Seoul, up to 10 days apart. Business hours, closing days, last train times, and fares are among the areas where AI travel answers are most frequently inaccurate. DealLabs continuously updates this information using official sources.
All seven cities have AI-ready guide files (llms.txt) and data APIs, while Seoul also provides a standard API specification (OpenAPI). The seven cities are run using a single common engine, allowing a new city to be added simply by incorporating that city’s data and sources.
DealLabs is also piloting “Visit Plan Check,” which checks travel AI itineraries against official sources daily.
Young Cho, founder and CEO of DealLabs, said, “When travelers ask AI a question, what matters is whether the answer is accurate for that city today. We will establish a standard for local data that travel AI can rely on.”
DealLabs plans to expand its coverage to 10 cities by the end of 2026 and to 30 cities, including New York and Paris, by 2028.
For more information, please visit https://deallabs.net.
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SOURCE DEALLABS
